Compare models
Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.
- GPT-4o TranscribeOpenAIRemove
- GLM 5.3Z.AIRemove
- Gemini 3.7 FlashGoogleRemove
- Gemini 3.8 FlashGoogleRemove
4 is the maximum. Remove one to add another.
| Attribute | GPT-4o Transcribegpt-4o-transcribe | GLM 5.3glm-5.3 | Gemini 3.7 Flashgemini-3.7-flash | Gemini 3.8 Flashgemini-3.8-flash |
|---|---|---|---|---|
| Pricing | ||||
| Input | $1.25 / 1M | $1.40 / 1M | $0.375 / 1M | $0.75 / 1M |
| Output | $0 / 1M | $4.40 / 1M | $1.88 / 1M | $3.75 / 1M |
| Cache Write (5m) | Not applicable | $1.40 / 1M | $0.375 / 1M | $0.75 / 1M |
| Cache Write (1h) | Not applicable | $1.40 / 1M | $0.375 / 1M | $0.75 / 1M |
| Cache Read | Not applicable | $1.40 / 1M | $0.375 / 1M | $0.75 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 128K | 1M | 1M | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | No | No | Yes | Yes |
| Function Calling | No | Yes | Yes | Yes |
| JSON Mode | Yes | Yes | Yes | Yes |
| Streaming | No | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | OpenAI | Z.AI | ||
| Category | voice | chat | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | — | — |
| Description | ||||
| Summary | GPT-4o Transcribe is OpenAI's high-quality speech-to-text model built on GPT-4o's audio capabilities. It delivers accurate transcription with strong language understanding, making it suitable for a wide range of audio processing tasks. Priced per token (input and output), it offers transparent, fine-grained billing, making it well suited for workflows that require scalable transcription, integration with LLM pipelines, and cost-aware processing. | GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution. | Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning. | Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality. |